[HTML][HTML] A Comprehensive Review of Liver Allograft Fibrosis and Steatosis: From Cause to Diagnosis
M Rabindranath, R Zaya, K Prayitno… - Transplantation …, 2023 - journals.lww.com
Despite advances in posttransplant care, long-term outcomes for liver transplant recipients
remain unchanged. Approximately 25% of recipients will advance to graft cirrhosis and …
remain unchanged. Approximately 25% of recipients will advance to graft cirrhosis and …
Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?
M Rabindranath, M Naghibzadeh, X Zhao… - …, 2023 - journals.lww.com
Medical applications of machine learning (ML) have shown promise in analyzing patient
data to support clinical decision-making and provide patient-specific outcomes. In …
data to support clinical decision-making and provide patient-specific outcomes. In …
[HTML][HTML] Assessment of hepatic fibrosis with non-invasive indices in subjects with diabetes before and after liver transplantation
V Grancini, I Cogliati, G Alicandro, A Gaglio… - Frontiers in …, 2024 - frontiersin.org
Introduction One of the most common complications of cirrhosis is diabetes, which
prevalence is strictly related to severity of hepatopathy. Actually, there are no data on the …
prevalence is strictly related to severity of hepatopathy. Actually, there are no data on the …
Bayesian and deep‐learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers
Background Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen
125 (CA125) is the best‐performing ovarian cancer biomarker which however is still not …
125 (CA125) is the best‐performing ovarian cancer biomarker which however is still not …
[HTML][HTML] Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study
FA Qazi Arisar, E Salinas-Miranda… - Transplant …, 2023 - frontierspartnerships.org
Liver Transplantation (LT) is complicated by recurrent fibrosis in 40% of recipients. We
evaluated the ability of clinical and radiomic features to flag patients at risk of developing …
evaluated the ability of clinical and radiomic features to flag patients at risk of developing …
[HTML][HTML] The transformative potential of artificial intelligence in solid organ transplantation
M Al Moussawy, ZS Lakkis, ZA Ansari… - Frontiers in …, 2024 - frontiersin.org
Solid organ transplantation confronts numerous challenges ranging from donor organ
shortage to post-transplant complications. Here, we provide an overview of the latest …
shortage to post-transplant complications. Here, we provide an overview of the latest …
[HTML][HTML] Will deep learning change outcomes in liver transplant?
SE Khorsandi - The Lancet Digital Health, 2023 - thelancet.com
In The Lancet Digital Health, Amirhossein Azhie and colleagues1 describe the development
of a deep learning model using a weighted Long Short-Term Memory (LSTM) neural …
of a deep learning model using a weighted Long Short-Term Memory (LSTM) neural …
Automated Diagnosis of Liver Allograft Fibrosis using Machine Learning Approaches
M Rabindranath - 2023 - search.proquest.com
Purpose: To determine if machine learning can be leveraged to develop non-invasive
diagnostic tools for liver graft fibrosis. Methods: Using 1,804 ultrasound (US) studies from …
diagnostic tools for liver graft fibrosis. Methods: Using 1,804 ultrasound (US) studies from …